* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’ * installing *source* package ‘nadir’ ... ** this is package ‘nadir’ version ‘0.0.1’ ** package ‘nadir’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices converting help for package ‘nadir’ finding HTML links ... done add_screener html binary_learners html check_simple_lhs html compare_learners html cv_character_and_factors_schema html cv_origami_schema html cv_random_schema html cv_super_learner html cv_super_learner_internal html density_learners html determine_super_learner_weights_nnls html determine_weights_for_binary_outcomes html determine_weights_using_neg_log_loss html df_to_survival_stacked html extract_y_variable html learners html list_known_learners html lnr_earth html lnr_gam html lnr_gbm html lnr_glm html lnr_glm_density html lnr_glmer html lnr_glmnet html lnr_hal html lnr_heteroskedastic_density html lnr_homoskedastic_density html lnr_lm html lnr_lm_density html lnr_lmer html lnr_logistic html lnr_mean html lnr_multinomial_nnet html lnr_multinomial_vglm html lnr_nnet html lnr_ranger html lnr_ranger_binary html lnr_rf html lnr_rf_binary html lnr_xgboost html make_learner_names_unique html mse html multiclass_learners html nadir-package html nadir_supported_types html negative_log_loss html negative_log_loss_for_binary html parse_extra_learner_arguments html parse_formulas html predict.nadir_sl_model html screener_cor html screener_cor_top_n html screener_t_test html screeners html softmax html stochastic_round html super_learner html validate_learner_types html *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nadir)